I'm a research-driven Machine Learning Engineer (MLE) at Owl Autonomous Imaging, where I work on 3D perception, multimodal sensor fusion, and intelligent perception systems for autonomous vehicles. My work focuses on building robust real-world perception stacks that combine depth, thermal, and vision signals for reliable deployment.
I publish across AI and ML venues on perception, decision-making, and language modeling, with recent work spanning autonomous-driving benchmarks, complex-valued neural networks, and multimodal/LLM research. I specialize in PyTorch, ROS2, NVIDIA platforms, and translating research into production-grade systems.
Latest News
2026
TextNCA: Neural Cellular Automata for Language Modeling via Hierarchical Local Attention
Accepted at EMNLP 2026 • Forthcoming
GEM Workshop, ACL 2025 • April 2026
March 2026 • Working on Owl's perception stack with a focus on thermal vision
Investigating Vaccine Buyers' Remorse
AAAI 2026 • January 2026
2025
Toward Fair and Informed Vaccine Allocation using Data-Driven Approaches
INFORMS Annual Meeting • Invited Talk • October 2025
KDD Workshop on Prompt Optimization • July 2025
AAAI 2025 • February 2025
Preprint on arXiv • January 2025
January 2025 • Developing autonomous driving software systems and multimodal sensor fusion algorithms
2024
Top Winners at IBM TechXchange Hackathon
October 2024 • Invited to present Generative AI solutions at IBM's annual conference in Las Vegas, NV
AWARE AI Fellowship Recipient
AI Hardware Track • August 2024